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Energy-Efficient Pr...
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Sun, GangKey Lab of Optical Fiber Sensing and Communications (Ministry of Education), University of Electronic Science and Technology of China, Chengdu, China
(författare)
Energy-Efficient Provisioning for Service Function Chains to Support Delay-Sensitive Applications in Network Function Virtualization
- Artikel/kapitelEngelska2020
Förlag, utgivningsår, omfång ...
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IEEE,2020
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Nummerbeteckningar
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LIBRIS-ID:oai:DiVA.org:ltu-78559
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https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-78559URI
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https://doi.org/10.1109/JIOT.2020.2970995DOI
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Språk:engelska
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Sammanfattning på:engelska
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Ämneskategori:ref swepub-contenttype
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Ämneskategori:art swepub-publicationtype
Anmärkningar
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Validerad;2020;Nivå 2;2020-08-19 (johcin)
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The efficient deployment of virtual network functions (VNFs) for network service provisioning is key for achieving network function virtualization (NFV); however, most existing studies address only offline or one-off deployments of service function chains (SFCs) while neglecting the dynamic (i.e., online) deployment and expansion requirements. In particular, many methods of energy/resource cost reduction are achieved by merging VNFs. However, the energy waste and device wear for large-scale collections of servers (e.g., cloud networks and data centers) caused by sporadic request updating are ignored. To solve these problems, we propose an energy-aware routing and adaptive delayed shutdown (EAR-ADS) algorithm for dynamic SFC deployment, which includes the following features. 1) Energy-aware routing (EAR): By considering a practical deployment environment, a flexible solution is developed based on reusing open servers and selecting paths with the aims of balancing energy and resources and minimizing the total cost. 2) Adaptive delayed shutdown (ADS): The delayed shutdown time of the servers can be flexibly adjusted in accordance with the usage of each device in each time slot, thus eliminating the no-load wait time of the servers and frequent on/off switching. Therefore, EAR-ADS can achieve dual energy savings by both decreasing the number of open servers and reducing the idle/switching energy consumption of these servers. Simulation results show that EAR-ADS not only minimizes the cost of energy and resources but also achieves an excellent success rate and stability. Moreover, EAR-ADS is efficient compared with an improved Markov algorithm (SAMA), reducing the average deployment time by more than a factor of 40.
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Biuppslag (personer, institutioner, konferenser, titlar ...)
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Zhou, RunKey Lab of Optical Fiber Sensing and Communications (Ministry of Education), University of Electronic Science and Technology of China, Chengdu, China
(författare)
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Sun, JianKey Lab of Optical Fiber Sensing and Communications (Ministry of Education), University of Electronic Science and Technology of China, Chengdu, China
(författare)
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Yu, HongfangKey Lab of Optical Fiber Sensing and Communications (Ministry of Education), University of Electronic Science and Technology of China, Chengdu, China. Peng Cheng Laboratory, Shenzhen, China
(författare)
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Vasilakos, Athanasios V.Luleå tekniska universitet,Datavetenskap,Department of Computer Science and Technology, Fuzhou University, China(Swepub:ltu)thanos
(författare)
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Key Lab of Optical Fiber Sensing and Communications (Ministry of Education), University of Electronic Science and Technology of China, Chengdu, ChinaKey Lab of Optical Fiber Sensing and Communications (Ministry of Education), University of Electronic Science and Technology of China, Chengdu, China. Peng Cheng Laboratory, Shenzhen, China
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:IEEE Internet of Things Journal: IEEE7:7, s. 6116-61312327-4662
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